STATISTICS -1

Without data, you're just another person with an opinion." – W. Edwards Deming

Welcome aboard the journey through data! With Professor Usha Mohan as your skilled pilot, you’ll be the eager passenger, navigating new landscapes of statistical knowledge. Fasten your seatbelt as we explore the vast world of data, uncovering hidden patterns and new perspectives along the way. Let curiosity be your compass on this exciting adventure as we navigate the foundations of statistics together."

Introduction to Statistics for Data Science I

Statistics for Data Science I introduces students to the basics of data analysis and probability. Throughout the course, students will learn how to work with datasets, summarize data through numerical measures and visualizations, and understand basic probability concepts. Key topics include descriptive statistics, probability rules, random variables, and an introduction to important probability distributions like the Binomial, Poisson, Uniform, and Exponential distributions. By the end of the course, students will have a solid foundation in handling and interpreting data for further studies in data science.

Dr. Usha Mohan professor, IIT Madras

Dr. Usha Mohan – Professor, IIT Madras

Dr. Usha Mohan holds a Ph.D. in Operations Research from the Indian Statistical Institute. With extensive experience as a researcher at ISB Hyderabad and a lecturer at the University of Hyderabad, she now serves as a professor at IIT Madras. Dr. Mohan teaches courses in Data Analytics, Operations Research, and Supply Chain Management across undergraduate, postgraduate, and doctoral levels. She also conducts professional training in Optimization Methods and Data Analytics for industry leaders.

Research Interests
Dr. Mohan’s research focuses on developing quantitative models in supply chain management, combinatorial optimization, and mathematical programming.

Selected Publications

“Order Acceptance and Scheduling: Overview and Complexity Results,” International Journal of Operational Research.
“Constant factor approximation algorithm for TSP satisfying a biased triangle inequality,” Theoretical Computer Science, 2017.
“An Integrated Approach To Evaluating Sustainability In Supply Chains Using Evolutionary Game Theory,” Computers and Operations Research, 2017.
“Impact of Retailer Competition on Manufacturer’s Decisions and Profits at Equilibrium,” International Game Theory Review, 2013.

Conference Contributions

"A Credit Scoring Model for Microfinance: Case Study from India," Presented at the Inclusive Financial Innovation Workshop, XLRI, 2012.
“Impact of Avian Influenza in the Indian Poultry Industry: A Supply Chain Risk Perspective,” in Achieving Rural and Global Supply Chain Excellence - The Indian Way, 2006.

With a well-rounded background and numerous contributions to both academia and industry, Dr. Mohan is highly respected for her expertise in quantitative research methods applied to real-world challenges.

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